Multiple Predictively Equivalent Risk Models for Handling Missing Data at Time of Prediction: with an Application in Severe Hypoglycemia Risk Prediction for Type 2 Diabetes

The presence of missing data at the time of prediction limits the application of risk models in clinical and research settings. Common ways of handling missing data at the time of prediction include measuring the missing value and employing statistical methods. Measuring missing value incurs additio...

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Bibliografiska uppgifter
I publikationen:J Biomed Inform
Huvudupphovsmän: Ma, Sisi, Schreiner, Pamela J, Seaquist, Elizabeth R., Ugurbil, Mehmet, Zmora, Rachel, Chow, Lisa S
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2020
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7088462/
https://ncbi.nlm.nih.gov/pubmed/32001388
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2020.103379
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